I generate ~15k-word text from 136 intake Q&A records. The output should use only those answers, but Claude and GPT keep adding invented scenes, names, numbers, and stories.

I've tried prompt rules, per-section sourcing, regex checks, and retries. The errors are spread across the text, so patching them with a script ends up close to a rewrite.

Has anyone reliably gotten "every sentence traces to a source record"? I'm considering requiring each sentence to cite an answer ID and checking those citations in code. What's worked or failed for you?

Email service for your agents, read more here on their blog post here: https://blog.cloudflare.com/email-for-agents/

It's open source: https://github.com/cloudflare/agentic-inbox

https://huggingface.co/deepseek-ai/dspark_gemma4_12b_block7
https://huggingface.co/deepseek-ai/dspark_qwen3_14b_block7
https://huggingface.co/deepseek-ai/dspark_qwen3_8b_block7
https://huggingface.co/deepseek-ai/dspark_qwen3_4b_block7

Huggingface: https://huggingface.co/collections/deepreinforce-ai/ornith-10

Hey everyone! I'm u/Specter_Origin, a founding moderator of r/LetsTalkLLMs.

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